Adaptive SIC Classification for Wireless Receiver Interference
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Solution Overview
Problem
In multi-user communication networks, existing strategies for mitigating interference, such as beamforming and successive interference cancellation (SIC), are not universally effective, leading to suboptimal performance and increased computational complexity due to the need for adaptive decoding strategies that vary with signal quality and interference types.
Innovation Solution
A computer-implemented method using a classification model to classify transmit signals into SIC or treat interference as noise (TIN) groups based on received signal quality, allowing for adaptive decoding strategies that reduce computational complexity and improve detection performance by selectively applying SIC only when beneficial, and treating interference as noise when not.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If successive interference cancellation (SIC) is applied to all secondary transmit signals, then detection performance may improve, but computational complexity increases exponentially
Solution Approach 1:
The patent applies different decoding strategies to different secondary transmit signals based on their individual received signal quality. Signals with poor quality are treated as noise, while signals with adequate quality are processed using SIC. This local differentiation avoids the need to apply complex SIC to all signals uniformly, reducing overall computational complexity while maintaining detection performance where beneficial.
Solution Approach 2:
The patent uses received signal quality as a parameter to dynamically determine the decoding strategy. By thresholding or classifying signal quality parameters, the system adapts its behavior - applying SIC only when signal quality justifies the computational effort. This parameter-based adaptation transforms a static all-or-nothing SIC approach into a dynamic, condition-based strategy that balances performance and complexity.
2Reliability
If adaptive decoding strategies are implemented to handle different interference types, then detection performance improves, but processing delay increases
Solution Approach 1:
The patent performs preliminary classification of secondary transmit signals into SIC groups or noise groups based on received signal quality before executing the full decoding process. This preliminary action determines the decoding path in advance, allowing the system to quickly select between SIC processing and noise treatment without unnecessary computational steps, thereby reducing processing delay while maintaining adaptive performance.
Solution Approach 2:
The patent segments the set of secondary transmit signals into distinct groups (SIC group and TIN group) based on signal quality characteristics. This segmentation allows parallel processing and selective application of decoding strategies, avoiding sequential processing of all signals and reducing overall processing time. The segmented approach enables efficient resource allocation and faster decision-making in the decoding process.
3Reliability
If SIC is applied universally, then interference mitigation is maximized, but energy consumption increases
Solution Approach 1:
Instead of applying SIC universally to all secondary transmit signals, the patent applies SIC only partially - specifically to those signals that fall into the SIC group based on received signal quality. Signals classified as noise are processed using simpler, lower-energy methods. This partial application of SIC maintains interference mitigation effectiveness for relevant signals while avoiding unnecessary energy consumption on signals that would be better treated as noise.
Data Source
AI summary
A computer implemented method performed by a receiving node (110) in a wireless communications network (100), for detecting information in a first transmit signal (121) sent from a primary transmitting node (120) in the network, where the first transmit signal is comprised in a received signal (112). The received signal also comprises one or more interfering secondary transmit signals (131, 132). The method comprises determining a received signal quality associated with at least one of the secondary transmit signals (131, 132), obtaining a computer implemented classification model configured to classify a transmit signal (121, 131) into a successive interference cancelation, SIC, group based on the received signal quality, classifying the at least one secondary transmit signal (131, 132) using the classification model, and, if one or more of the secondary transmit signals are classified into the SIC group, detecting the information in the first transmit signal (121) based on a SIC information decoding strategy involving the one or more secondary transmit signals (131, 132) classified into the SIC group.